Data Profiling Report

Dataset statistics

Number of variables	37
Number of observations	2922
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	488.0 KiB
Average record size in memory	171.0 B

Variable types

DateTime	1
Numeric	15
Categorical	21

Alerts

`vehicle_operation` is highly overall correlated with `reception_cases` and 6 other fields	High correlation
`reception_cases` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`boarding_cases` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`average_wait_time` is highly overall correlated with `target` and 2 other fields	High correlation
`average_fare` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`average_boarding_distance` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`target` is highly overall correlated with `average_wait_time` and 2 other fields	High correlation
`temp_max_forecast` is highly overall correlated with `temp_min_forecast` and 1 other fields	High correlation
`temp_min_forecast` is highly overall correlated with `temp_max_forecast` and 2 other fields	High correlation
`rain(mm)_forecast` is highly overall correlated with `humidity_max(%)_forecast` and 1 other fields	High correlation
`humidity_max(%)_forecast` is highly overall correlated with `rain(mm)_forecast` and 1 other fields	High correlation
`humidity_min(%)_forecast` is highly overall correlated with `rain(mm)_forecast` and 1 other fields	High correlation
`Boarding rate` is highly overall correlated with `average_wait_time` and 2 other fields	High correlation
`average_wait_time_7` is highly overall correlated with `average_wait_time` and 2 other fields	High correlation
`holiday` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`holiday eve` is highly overall correlated with `day_Friday` and 1 other fields	High correlation
`month_1` is highly overall correlated with `temp_max_forecast`	High correlation
`month_7` is highly overall correlated with `temp_min_forecast`	High correlation
`month_8` is highly overall correlated with `temp_min_forecast`	High correlation
`day_Friday` is highly overall correlated with `holiday eve`	High correlation
`day_Saturday` is highly overall correlated with `vehicle_operation` and 6 other fields	High correlation
`day_Sunday` is highly overall correlated with `vehicle_operation` and 5 other fields	High correlation
`month_1` is highly imbalanced (58.1%)	Imbalance
`month_2` is highly imbalanced (60.7%)	Imbalance
`month_3` is highly imbalanced (58.1%)	Imbalance
`month_4` is highly imbalanced (59.0%)	Imbalance
`month_5` is highly imbalanced (58.1%)	Imbalance
`month_6` is highly imbalanced (59.0%)	Imbalance
`month_7` is highly imbalanced (58.1%)	Imbalance
`month_8` is highly imbalanced (58.1%)	Imbalance
`month_9` is highly imbalanced (59.0%)	Imbalance
`month_10` is highly imbalanced (58.0%)	Imbalance
`month_11` is highly imbalanced (59.0%)	Imbalance
`month_12` is highly imbalanced (58.2%)	Imbalance
`rain(mm)_forecast` has 2088 (71.5%) zeros	Zeros

Reproduction

Analysis started	2023-04-19 08:03:55.263455
Analysis finished	2023-04-19 08:04:59.107359
Duration	1 minute and 3.84 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

Date
Date

Distinct	2921
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

Minimum	2015-01-01 00:00:00
Maximum	2022-12-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

vehicle_operation
Real number (ℝ)

Distinct	477
Distinct (%)	16.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	418.70089

Minimum	132
Maximum	1413
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	132
5-th percentile	203
Q1	278
median	454
Q3	522
95-th percentile	594
Maximum	1413
Range	1281
Interquartile range (IQR)	244

Descriptive statistics

Standard deviation	133.75637
Coefficient of variation (CV)	0.31945566
Kurtosis	-0.11326761
Mean	418.70089
Median Absolute Deviation (MAD)	87
Skewness	-0.19426786
Sum	1223444
Variance	17890.766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
442	21	0.7%
218	20	0.7%
458	19	0.7%
522	18	0.6%
524	17	0.6%
219	17	0.6%
227	16	0.5%
459	16	0.5%
456	16	0.5%
479	15	0.5%
Other values (467)	2747	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
132	1	< 0.1%
139	1	< 0.1%
157	1	< 0.1%
161	1	< 0.1%
163	1	< 0.1%
164	2	0.1%
167	2	0.1%
171	3	0.1%
173	1	< 0.1%
174	2	0.1%

Value	Count	Frequency (%)
1413	1	< 0.1%
814	1	< 0.1%
700	1	< 0.1%
697	1	< 0.1%
692	1	< 0.1%
690	1	< 0.1%
689	1	< 0.1%
685	1	< 0.1%
684	1	< 0.1%
682	1	< 0.1%

reception_cases
Real number (ℝ)

Distinct	1820
Distinct (%)	62.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3925.4398

Minimum	527
Maximum	6182
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	527
5-th percentile	1441.3
Q1	2160.5
median	4720.5
Q3	5110
95-th percentile	5571.95
Maximum	6182
Range	5655
Interquartile range (IQR)	2949.5

Descriptive statistics

Standard deviation	1509.9648
Coefficient of variation (CV)	0.38466132
Kurtosis	-1.2958201
Mean	3925.4398
Median Absolute Deviation (MAD)	573.5
Skewness	-0.58264008
Sum	11470135
Variance	2279993.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5014	8	0.3%
5050	8	0.3%
5003	8	0.3%
4948	7	0.2%
1841	7	0.2%
4881	7	0.2%
5178	7	0.2%
5101	6	0.2%
4939	6	0.2%
5011	6	0.2%
Other values (1810)	2852	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
527	1	< 0.1%
590	1	< 0.1%
591	1	< 0.1%
596	1	< 0.1%
609	1	< 0.1%
618	1	< 0.1%
619	1	< 0.1%
623	1	< 0.1%
624	1	< 0.1%
626	1	< 0.1%

Value	Count	Frequency (%)
6182	1	< 0.1%
6164	1	< 0.1%
6134	1	< 0.1%
6133	1	< 0.1%
6128	1	< 0.1%
6100	1	< 0.1%
6093	1	< 0.1%
6092	1	< 0.1%
6075	1	< 0.1%
6072	1	< 0.1%

boarding_cases
Real number (ℝ)

Distinct	1657
Distinct (%)	56.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3283.7399

Minimum	462
Maximum	5189
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	462
5-th percentile	1282.4
Q1	1778.25
median	3932.5
Q3	4241
95-th percentile	4668
Maximum	5189
Range	4727
Interquartile range (IQR)	2462.75

Descriptive statistics

Standard deviation	1249.378
Coefficient of variation (CV)	0.3804741
Kurtosis	-1.3284619
Mean	3283.7399
Median Absolute Deviation (MAD)	512.5
Skewness	-0.57033601
Sum	9595088
Variance	1560945.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4180	7	0.2%
4090	7	0.2%
4150	7	0.2%
4083	7	0.2%
1604	7	0.2%
4248	6	0.2%
4049	6	0.2%
1626	6	0.2%
4373	6	0.2%
3897	6	0.2%
Other values (1647)	2857	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
462	1	< 0.1%
541	1	< 0.1%
550	1	< 0.1%
551	1	< 0.1%
570	1	< 0.1%
580	2	0.1%
582	1	< 0.1%
586	1	< 0.1%
591	1	< 0.1%
611	1	< 0.1%

Value	Count	Frequency (%)
5189	1	< 0.1%
5176	1	< 0.1%
5151	1	< 0.1%
5130	1	< 0.1%
5129	1	< 0.1%
5120	1	< 0.1%
5106	1	< 0.1%
5098	1	< 0.1%
5087	1	< 0.1%
5083	1	< 0.1%

average_wait_time
Real number (ℝ)

Distinct	582
Distinct (%)	19.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.30243

Minimum	17.2
Maximum	96.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	17.2
5-th percentile	21.1
Q1	29.6
median	38.2
Q3	48.6
95-th percentile	66.5
Maximum	96.1
Range	78.9
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.101169
Coefficient of variation (CV)	0.34988384
Kurtosis	0.39366018
Mean	40.30243
Median Absolute Deviation (MAD)	9.3
Skewness	0.76738927
Sum	117763.7
Variance	198.84296
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.9	18	0.6%
38.8	16	0.5%
35.2	15	0.5%
27.6	15	0.5%
34	14	0.5%
38.2	14	0.5%
40.4	14	0.5%
44.6	14	0.5%
36.8	14	0.5%
33.7	14	0.5%
Other values (572)	2774	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17.2	1	< 0.1%
17.6	1	< 0.1%
17.7	1	< 0.1%
17.8	2	0.1%
18.2	4	0.1%
18.3	1	< 0.1%
18.4	4	0.1%
18.5	7	0.2%
18.6	2	0.1%
18.7	2	0.1%

Value	Count	Frequency (%)
96.1	1	< 0.1%
96	1	< 0.1%
94.7	1	< 0.1%
93.4	1	< 0.1%
92.4	1	< 0.1%
91.8	1	< 0.1%
90.2	1	< 0.1%
89.8	1	< 0.1%
89.2	1	< 0.1%
89	2	0.1%

average_fare
Real number (ℝ)

Distinct	411
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2304.3576

Minimum	2131
Maximum	2733
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	2131
5-th percentile	2189.05
Q1	2228
median	2257
Q3	2401
95-th percentile	2504.95
Maximum	2733
Range	602
Interquartile range (IQR)	173

Descriptive statistics

Standard deviation	107.36985
Coefficient of variation (CV)	0.046594263
Kurtosis	-0.3027064
Mean	2304.3576
Median Absolute Deviation (MAD)	42
Skewness	0.93703671
Sum	6733333
Variance	11528.284
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2255	36	1.2%
2240	35	1.2%
2244	34	1.2%
2252	33	1.1%
2251	29	1.0%
2241	29	1.0%
2236	29	1.0%
2239	29	1.0%
2233	27	0.9%
2242	27	0.9%
Other values (401)	2614	89.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2131	1	< 0.1%
2141	1	< 0.1%
2144	1	< 0.1%
2146	1	< 0.1%
2149	1	< 0.1%
2150	1	< 0.1%
2151	1	< 0.1%
2152	2	0.1%
2156	1	< 0.1%
2157	1	< 0.1%

Value	Count	Frequency (%)
2733	1	< 0.1%
2708	1	< 0.1%
2700	1	< 0.1%
2690	1	< 0.1%
2685	1	< 0.1%
2649	1	< 0.1%
2640	1	< 0.1%
2639	1	< 0.1%
2634	1	< 0.1%
2628	1	< 0.1%

average_boarding_distance
Real number (ℝ)

Distinct	1726
Distinct (%)	59.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9254.2912

Minimum	7672
Maximum	14136
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	7672
5-th percentile	8145.05
Q1	8521
median	8821.5
Q3	10154
95-th percentile	11166.95
Maximum	14136
Range	6464
Interquartile range (IQR)	1633

Descriptive statistics

Standard deviation	1020.236
Coefficient of variation (CV)	0.11024464
Kurtosis	-0.099169191
Mean	9254.2912
Median Absolute Deviation (MAD)	416
Skewness	0.9538583
Sum	27041039
Variance	1040881.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8646	9	0.3%
8933	7	0.2%
8759	6	0.2%
8453	6	0.2%
8815	6	0.2%
8662	6	0.2%
8960	6	0.2%
8714	6	0.2%
8499	6	0.2%
8738	6	0.2%
Other values (1716)	2858	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7672	1	< 0.1%
7695	1	< 0.1%
7748	1	< 0.1%
7768	1	< 0.1%
7797	1	< 0.1%
7806	1	< 0.1%
7808	1	< 0.1%
7824	1	< 0.1%
7832	1	< 0.1%
7847	1	< 0.1%

Value	Count	Frequency (%)
14136	1	< 0.1%
13904	1	< 0.1%
13304	1	< 0.1%
13056	1	< 0.1%
12913	1	< 0.1%
12747	1	< 0.1%
12516	1	< 0.1%
12404	1	< 0.1%
12277	1	< 0.1%
12265	1	< 0.1%

target
Real number (ℝ)

Distinct	582
Distinct (%)	19.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.30616

Minimum	17.2
Maximum	96.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	17.2
5-th percentile	21.1
Q1	29.6
median	38.2
Q3	48.6
95-th percentile	66.5
Maximum	96.1
Range	78.9
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.097992
Coefficient of variation (CV)	0.34977264
Kurtosis	0.39512632
Mean	40.30616
Median Absolute Deviation (MAD)	9.3
Skewness	0.7677273
Sum	117774.6
Variance	198.75338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.9	18	0.6%
38.8	16	0.5%
33.7	15	0.5%
27.6	15	0.5%
35.2	15	0.5%
38.2	14	0.5%
40.4	14	0.5%
44.6	14	0.5%
36.8	14	0.5%
34	14	0.5%
Other values (572)	2773	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17.2	1	< 0.1%
17.6	1	< 0.1%
17.7	1	< 0.1%
17.8	2	0.1%
18.2	4	0.1%
18.3	1	< 0.1%
18.4	4	0.1%
18.5	7	0.2%
18.6	2	0.1%
18.7	2	0.1%

Value	Count	Frequency (%)
96.1	1	< 0.1%
96	1	< 0.1%
94.7	1	< 0.1%
93.4	1	< 0.1%
92.4	1	< 0.1%
91.8	1	< 0.1%
90.2	1	< 0.1%
89.8	1	< 0.1%
89.2	1	< 0.1%
89	2	0.1%

temp_max_forecast
Real number (ℝ)

Distinct	431
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.0795

Minimum	-11.2
Maximum	39.4
Zeros	2
Zeros (%)	0.1%
Negative	152
Negative (%)	5.2%
Memory size	45.7 KiB

Quantile statistics

Minimum	-11.2
5-th percentile	-0.2
Q1	9
median	19.7
Q3	27.4
95-th percentile	32.4
Maximum	39.4
Range	50.6
Interquartile range (IQR)	18.4

Descriptive statistics

Standard deviation	10.705421
Coefficient of variation (CV)	0.59213036
Kurtosis	-0.95591053
Mean	18.0795
Median Absolute Deviation (MAD)	8.6
Skewness	-0.36018703
Sum	52828.3
Variance	114.60604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29.4	24	0.8%
26.4	23	0.8%
28.9	20	0.7%
27.5	20	0.7%
28.2	19	0.7%
27.2	19	0.7%
28.7	18	0.6%
27.9	18	0.6%
28	17	0.6%
6.7	17	0.6%
Other values (421)	2727	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-11.2	1	< 0.1%
-11	1	< 0.1%
-10.8	2	0.1%
-9.6	2	0.1%
-9.2	1	< 0.1%
-8.3	2	0.1%
-7.7	1	< 0.1%
-7.6	1	< 0.1%
-7.4	1	< 0.1%
-7.3	1	< 0.1%

Value	Count	Frequency (%)
39.4	1	< 0.1%
38	1	< 0.1%
37.9	1	< 0.1%
37.8	1	< 0.1%
37.4	3	0.1%
37.2	1	< 0.1%
36.8	1	< 0.1%
36.7	1	< 0.1%
36.5	2	0.1%
36.4	3	0.1%

temp_min_forecast
Real number (ℝ)

Distinct	427
Distinct (%)	14.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.4150582

Minimum	-18.5
Maximum	30.4
Zeros	6
Zeros (%)	0.2%
Negative	674
Negative (%)	23.1%
Memory size	45.7 KiB

Quantile statistics

Minimum	-18.5
5-th percentile	-8.3
Q1	0.5
median	10
Q3	18.9
95-th percentile	25.1
Maximum	30.4
Range	48.9
Interquartile range (IQR)	18.4

Descriptive statistics

Standard deviation	10.782829
Coefficient of variation (CV)	1.1452748
Kurtosis	-1.0417786
Mean	9.4150582
Median Absolute Deviation (MAD)	9.2
Skewness	-0.19190222
Sum	27510.8
Variance	116.2694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	18	0.6%
-0.3	17	0.6%
20.2	16	0.5%
19.5	16	0.5%
20.4	16	0.5%
20	16	0.5%
17.7	15	0.5%
18.2	15	0.5%
21.3	15	0.5%
7.7	14	0.5%
Other values (417)	2764	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-18.5	1	< 0.1%
-18	1	< 0.1%
-17.8	1	< 0.1%
-16.4	3	0.1%
-16.2	1	< 0.1%
-15.9	1	< 0.1%
-15.5	1	< 0.1%
-15.4	1	< 0.1%
-15.1	1	< 0.1%
-15	1	< 0.1%

Value	Count	Frequency (%)
30.4	1	< 0.1%
30.2	1	< 0.1%
29.2	1	< 0.1%
28.4	1	< 0.1%
28.3	1	< 0.1%
28.2	2	0.1%
28	2	0.1%
27.9	3	0.1%
27.8	2	0.1%
27.6	2	0.1%

rain(mm)_forecast
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	247
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3556126

Minimum	0
Maximum	178.9
Zeros	2088
Zeros (%)	71.5%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.3
95-th percentile	18.99
Maximum	178.9
Range	178.9
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	12.595804
Coefficient of variation (CV)	3.7536526
Kurtosis	53.138199
Mean	3.3556126
Median Absolute Deviation (MAD)	0
Skewness	6.4888036
Sum	9805.1
Variance	158.65427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2088	71.5%
0.5	56	1.9%
0.1	48	1.6%
0.2	37	1.3%
1	30	1.0%
0.3	26	0.9%
1.5	24	0.8%
0.4	20	0.7%
2	18	0.6%
0.6	16	0.5%
Other values (237)	559	19.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2088	71.5%
0.1	48	1.6%
0.2	37	1.3%
0.3	26	0.9%
0.4	20	0.7%
0.5	56	1.9%
0.6	16	0.5%
0.7	12	0.4%
0.8	4	0.1%
0.9	9	0.3%

Value	Count	Frequency (%)
178.9	1	< 0.1%
152.5	1	< 0.1%
133.5	1	< 0.1%
128.8	1	< 0.1%
123.5	1	< 0.1%
114.5	1	< 0.1%
113.8	1	< 0.1%
111	1	< 0.1%
108.5	1	< 0.1%
108	1	< 0.1%

humidity_max(%)_forecast
Real number (ℝ)

Distinct	70
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.099247

Minimum	29
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	29
5-th percentile	53
Q1	70
median	82
Q3	90
95-th percentile	98
Maximum	100
Range	71
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.024203
Coefficient of variation (CV)	0.17729882
Kurtosis	-0.20390111
Mean	79.099247
Median Absolute Deviation (MAD)	10
Skewness	-0.66879142
Sum	231128
Variance	196.67827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86	100	3.4%
91	93	3.2%
89	90	3.1%
83	89	3.0%
81	88	3.0%
94	85	2.9%
95	82	2.8%
93	82	2.8%
92	82	2.8%
88	79	2.7%
Other values (60)	2052	70.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
29	1	< 0.1%
30	1	< 0.1%
33	2	0.1%
34	1	< 0.1%
35	1	< 0.1%
36	1	< 0.1%
37	4	0.1%
38	2	0.1%
39	4	0.1%
40	5	0.2%

Value	Count	Frequency (%)
100	45	1.5%
99	41	1.4%
98	62	2.1%
97	77	2.6%
96	77	2.6%
95	82	2.8%
94	85	2.9%
93	82	2.8%
92	82	2.8%
91	93	3.2%

humidity_min(%)_forecast
Real number (ℝ)

Distinct	89
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.116632

Minimum	7
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	7
5-th percentile	18
Q1	29
median	39
Q3	51
95-th percentile	72.95
Maximum	98
Range	91
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	16.399444
Coefficient of variation (CV)	0.39885183
Kurtosis	0.07542595
Mean	41.116632
Median Absolute Deviation (MAD)	11
Skewness	0.64271977
Sum	120142.8
Variance	268.94176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	90	3.1%
37	83	2.8%
29	82	2.8%
39	79	2.7%
33	74	2.5%
34	74	2.5%
30	72	2.5%
27	71	2.4%
25	70	2.4%
43	70	2.4%
Other values (79)	2157	73.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	1	< 0.1%
9	1	< 0.1%
10	3	0.1%
11	6	0.2%
12	4	0.1%
13	8	0.3%
14	20	0.7%
15	13	0.4%
16	28	1.0%
17	31	1.1%

Value	Count	Frequency (%)
98	1	< 0.1%
95	3	0.1%
94	1	< 0.1%
93	1	< 0.1%
92	6	0.2%
91	2	0.1%
90	4	0.1%
89	6	0.2%
87	5	0.2%
86	3	0.1%

sunshine(MJ/m2)_forecast
Real number (ℝ)

Distinct	1699
Distinct (%)	58.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.496472

Minimum	0
Maximum	30.79
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	8.2425
median	12.67
Q3	18.58
95-th percentile	25.7395
Maximum	30.79
Range	30.79
Interquartile range (IQR)	10.3375

Descriptive statistics

Standard deviation	6.9401649
Coefficient of variation (CV)	0.51422069
Kurtosis	-0.79086337
Mean	13.496472
Median Absolute Deviation (MAD)	5.2
Skewness	0.27946103
Sum	39436.69
Variance	48.165889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.46	8	0.3%
9.97	7	0.2%
14.1	6	0.2%
8.93	6	0.2%
10.76	6	0.2%
12.29	6	0.2%
12.08	6	0.2%
3.06	6	0.2%
20.45	6	0.2%
9.29	6	0.2%
Other values (1689)	2859	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	0.1%
0.54	1	< 0.1%
0.65	1	< 0.1%
0.7	1	< 0.1%
0.75	1	< 0.1%
0.84	1	< 0.1%
0.86	1	< 0.1%
0.96	1	< 0.1%
1.06	1	< 0.1%
1.07	1	< 0.1%

Value	Count	Frequency (%)
30.79	1	< 0.1%
30.44	1	< 0.1%
30.35	1	< 0.1%
30.06	1	< 0.1%
30.01	1	< 0.1%
29.93	1	< 0.1%
29.7	1	< 0.1%
29.45	1	< 0.1%
29.35	1	< 0.1%
29.3	1	< 0.1%

Boarding rate
Real number (ℝ)

Distinct	2909
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.84156761

Minimum	0.59699625
Maximum	0.96884422
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	0.59699625
5-th percentile	0.75220925
Q1	0.80596003
median	0.84561544
Q3	0.87772009
95-th percentile	0.92063806
Maximum	0.96884422
Range	0.37184798
Interquartile range (IQR)	0.071760056

Descriptive statistics

Standard deviation	0.052175765
Coefficient of variation (CV)	0.061998305
Kurtosis	0.52378881
Mean	0.84156761
Median Absolute Deviation (MAD)	0.035570865
Skewness	-0.44536384
Sum	2459.0606
Variance	0.0027223105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.8460732984	2	0.1%
0.8954593453	2	0.1%
0.8333333333	2	0.1%
0.9169491525	2	0.1%
0.9381132075	2	0.1%
0.8719211823	2	0.1%
0.8613861386	2	0.1%
0.9111461619	2	0.1%
0.8518376723	2	0.1%
0.8866354654	2	0.1%
Other values (2899)	2902	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5969962453	1	< 0.1%
0.6033402923	1	< 0.1%
0.60789801	1	< 0.1%
0.6121105748	1	< 0.1%
0.6141219385	1	< 0.1%
0.6313932981	1	< 0.1%
0.6483679525	1	< 0.1%
0.6541929666	1	< 0.1%
0.6624696267	1	< 0.1%
0.6728810302	1	< 0.1%

Value	Count	Frequency (%)
0.9688442211	1	< 0.1%
0.9656160458	1	< 0.1%
0.9655737705	1	< 0.1%
0.9634655532	1	< 0.1%
0.9611280488	1	< 0.1%
0.9603633361	1	< 0.1%
0.9567765568	1	< 0.1%
0.9561965812	1	< 0.1%
0.9560085837	1	< 0.1%
0.9560029828	1	< 0.1%

holiday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2005
1	917

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

Most occurring characters

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2005	68.6%
1	917	31.4%

average_wait_time_7
Real number (ℝ)

Distinct	2100
Distinct (%)	71.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.316706

Minimum	18.8
Maximum	83.928571
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.7 KiB

Quantile statistics

Minimum	18.8
5-th percentile	22.687143
Q1	31.328571
median	39.085714
Q3	46.964286
95-th percentile	61.042857
Maximum	83.928571
Range	65.128571
Interquartile range (IQR)	15.635714

Descriptive statistics

Standard deviation	12.019928
Coefficient of variation (CV)	0.29813765
Kurtosis	0.093827838
Mean	40.316706
Median Absolute Deviation (MAD)	7.8142857
Skewness	0.57695062
Sum	117805.41
Variance	144.47866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.31670586	6	0.2%
41.02857143	6	0.2%
38.28571429	5	0.2%
38.01428571	5	0.2%
31.57142857	5	0.2%
39.81428571	5	0.2%
36.3	5	0.2%
38.5	5	0.2%
42.17142857	4	0.1%
56.3	4	0.1%
Other values (2090)	2872	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18.8	1	< 0.1%
18.98571429	1	< 0.1%
19.12857143	1	< 0.1%
19.17142857	1	< 0.1%
19.24285714	1	< 0.1%
19.25714286	1	< 0.1%
19.27142857	1	< 0.1%
19.28571429	2	0.1%
19.3	3	0.1%
19.38571429	1	< 0.1%

Value	Count	Frequency (%)
83.92857143	1	< 0.1%
83.32857143	1	< 0.1%
83.3	1	< 0.1%
82.68571429	1	< 0.1%
82.47142857	1	< 0.1%
82.45714286	1	< 0.1%
81.58571429	1	< 0.1%
81.14285714	1	< 0.1%
80.9	1	< 0.1%
80.72857143	1	< 0.1%

holiday eve
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0.0	2005
1.0	917

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	8766
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	2005	68.6%
1.0	917	31.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	2005	68.6%
1.0	917	31.4%

Most occurring characters

Value	Count	Frequency (%)
0	4927	56.2%
.	2922	33.3%
1	917	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5844	66.7%
Other Punctuation	2922	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4927	84.3%
1	917	15.7%

Other Punctuation

Value	Count	Frequency (%)
.	2922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8766	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4927	56.2%
.	2922	33.3%
1	917	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8766	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4927	56.2%
.	2922	33.3%
1	917	10.5%

month_1
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2674
1	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

month_2
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2696
1	226

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

Most occurring characters

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2696	92.3%
1	226	7.7%

month_3
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2674
1	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

month_4
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2682
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

month_5
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2674
1	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

month_6
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2682
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

month_7
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2674
1	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

month_8
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2674
1	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2674	91.5%
1	248	8.5%

month_9
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2682
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

month_10
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2673
1	249

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2673	91.5%
1	249	8.5%

month_11
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2682
1	240

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2682	91.8%
1	240	8.2%

month_12
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2675
1	247

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2675	91.5%
1	247	8.5%

day_Friday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2504
1	418

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

day_Monday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2505
1	417

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

day_Saturday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2505
1	417

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

day_Sunday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2505
1	417

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

day_Thursday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2504
1	418

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

day_Tuesday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2504
1	418

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2504	85.7%
1	418	14.3%

day_Wednesday
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.7 KiB

0	2505
1	417

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2922
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2922	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2922	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2505	85.7%
1	417	14.3%

Auto

Heatmap
Table

	vehicle_operation	reception_cases	boarding_cases	average_wait_time	average_fare	average_boarding_distance	target	temp_max_forecast	temp_min_forecast	rain(mm)_forecast	humidity_max(%)_forecast	humidity_min(%)_forecast	sunshine(MJ/m2)_forecast	Boarding rate	average_wait_time_7	holiday	holiday eve	month_1	month_2	month_3	month_4	month_5	month_6	month_7	month_8	month_9	month_10	month_11	month_12	day_Friday	day_Monday	day_Saturday	day_Sunday	day_Thursday	day_Tuesday	day_Wednesday
vehicle_operation	1.000	0.787	0.828	0.056	-0.740	-0.787	0.072	0.159	0.166	0.013	0.071	0.141	0.104	-0.019	-0.071	0.959	0.313	0.095	0.092	0.062	0.094	0.017	0.063	0.061	0.040	0.157	0.126	0.065	0.082	0.237	0.216	0.607	0.657	0.249	0.242	0.217
reception_cases	0.787	1.000	0.924	0.456	-0.649	-0.692	0.436	0.114	0.111	-0.003	0.010	0.021	0.043	-0.367	0.331	0.964	0.364	0.155	0.207	0.141	0.138	0.026	0.123	0.075	0.034	0.114	0.117	0.093	0.109	0.231	0.221	0.674	0.683	0.245	0.237	0.224
boarding_cases	0.828	0.924	1.000	0.226	-0.699	-0.698	0.242	0.129	0.119	-0.013	0.013	0.031	0.084	-0.071	0.093	0.966	0.334	0.154	0.132	0.118	0.149	0.053	0.128	0.071	0.000	0.065	0.112	0.083	0.144	0.251	0.221	0.633	0.639	0.242	0.242	0.220
average_wait_time	0.056	0.456	0.226	1.000	0.041	-0.032	0.743	0.073	0.067	-0.000	-0.023	-0.070	-0.034	-0.786	0.833	0.201	0.092	0.144	0.142	0.169	0.000	0.029	0.000	0.080	0.056	0.074	0.099	0.157	0.199	0.072	0.029	0.131	0.172	0.020	0.049	0.018
average_fare	-0.740	-0.649	-0.699	0.041	1.000	0.958	0.009	0.120	0.105	-0.002	-0.000	-0.065	0.051	-0.023	0.169	0.951	0.289	0.171	0.091	0.088	0.085	0.141	0.052	0.051	0.092	0.139	0.157	0.089	0.086	0.234	0.254	0.573	0.659	0.264	0.244	0.225
average_boarding_distance	-0.787	-0.692	-0.698	-0.032	0.958	1.000	-0.053	0.123	0.105	-0.001	0.002	-0.063	0.035	0.064	0.095	0.945	0.294	0.145	0.106	0.000	0.099	0.096	0.037	0.000	0.033	0.127	0.092	0.085	0.089	0.225	0.250	0.563	0.654	0.245	0.251	0.226
target	0.072	0.436	0.242	0.743	0.009	-0.053	1.000	0.076	0.067	0.004	-0.024	-0.074	-0.032	-0.617	0.791	0.165	0.200	0.136	0.146	0.163	0.023	0.057	0.000	0.074	0.061	0.077	0.102	0.167	0.185	0.130	0.051	0.172	0.028	0.072	0.013	0.023
temp_max_forecast	0.159	0.114	0.129	0.073	0.120	0.123	0.076	1.000	0.956	0.073	0.258	0.308	0.484	0.000	0.074	0.000	0.000	0.507	0.379	0.389	0.342	0.303	0.359	0.433	0.451	0.381	0.376	0.333	0.438	0.000	0.000	0.000	0.000	0.000	0.000	0.000
temp_min_forecast	0.166	0.111	0.119	0.067	0.105	0.105	0.067	0.956	1.000	0.226	0.378	0.484	0.300	-0.010	0.066	0.016	0.005	0.496	0.398	0.403	0.401	0.457	0.432	0.545	0.551	0.428	0.359	0.313	0.417	0.000	0.000	0.000	0.000	0.016	0.000	0.000
rain(mm)_forecast	0.013	-0.003	-0.013	-0.000	-0.002	-0.001	0.004	0.073	0.226	1.000	0.663	0.505	-0.432	-0.020	-0.006	0.038	0.024	0.029	0.000	0.000	0.000	0.000	0.042	0.127	0.120	0.000	0.000	0.000	0.029	0.000	0.028	0.034	0.063	0.000	0.000	0.059
humidity_max(%)_forecast	0.071	0.010	0.013	-0.023	-0.000	0.002	-0.024	0.258	0.378	0.663	1.000	0.645	-0.250	0.028	-0.037	0.000	0.000	0.163	0.139	0.099	0.052	0.060	0.099	0.160	0.161	0.062	0.061	0.000	0.104	0.000	0.000	0.017	0.013	0.000	0.000	0.019
humidity_min(%)_forecast	0.141	0.021	0.031	-0.070	-0.065	-0.063	-0.074	0.308	0.484	0.505	0.645	1.000	-0.402	0.052	-0.081	0.000	0.000	0.134	0.150	0.221	0.193	0.092	0.121	0.297	0.254	0.125	0.084	0.020	0.059	0.000	0.000	0.036	0.021	0.000	0.000	0.000
sunshine(MJ/m2)_forecast	0.104	0.043	0.084	-0.034	0.051	0.035	-0.032	0.484	0.300	-0.432	-0.250	-0.402	1.000	0.095	-0.051	0.000	0.032	0.290	0.227	0.231	0.248	0.391	0.235	0.074	0.103	0.179	0.178	0.251	0.309	0.039	0.000	0.000	0.000	0.000	0.027	0.000
Boarding rate	-0.019	-0.367	-0.071	-0.786	-0.023	0.064	-0.617	0.000	-0.010	-0.020	0.028	0.052	0.095	1.000	-0.752	0.329	0.210	0.144	0.105	0.175	0.074	0.037	0.056	0.046	0.065	0.055	0.099	0.109	0.172	0.101	0.088	0.201	0.426	0.085	0.093	0.076
average_wait_time_7	-0.071	0.331	0.093	0.833	0.169	0.095	0.791	0.074	0.066	-0.006	-0.037	-0.081	-0.051	-0.752	1.000	0.000	0.000	0.173	0.175	0.267	0.096	0.087	0.047	0.092	0.113	0.071	0.132	0.271	0.316	0.000	0.000	0.000	0.000	0.000	0.000	0.000
holiday	0.959	0.964	0.966	0.201	0.951	0.945	0.165	0.000	0.016	0.038	0.000	0.000	0.000	0.329	0.000	1.000	0.290	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.010	0.000	0.239	0.238	0.602	0.602	0.243	0.239	0.238
holiday eve	0.313	0.364	0.334	0.092	0.289	0.294	0.200	0.000	0.005	0.024	0.000	0.000	0.032	0.210	0.000	0.290	1.000	0.000	0.029	0.012	0.000	0.000	0.000	0.000	0.000	0.005	0.006	0.010	0.000	0.603	0.240	0.602	0.238	0.239	0.237	0.245
month_1	0.095	0.155	0.154	0.144	0.171	0.145	0.136	0.507	0.496	0.029	0.163	0.134	0.290	0.144	0.173	0.000	0.000	1.000	0.084	0.089	0.087	0.089	0.087	0.089	0.089	0.087	0.089	0.087	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_2	0.092	0.207	0.132	0.142	0.091	0.106	0.146	0.379	0.398	0.000	0.139	0.150	0.227	0.105	0.175	0.010	0.029	0.084	1.000	0.084	0.082	0.084	0.082	0.084	0.084	0.082	0.084	0.082	0.084	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_3	0.062	0.141	0.118	0.169	0.088	0.000	0.163	0.389	0.403	0.000	0.099	0.221	0.231	0.175	0.267	0.000	0.012	0.089	0.084	1.000	0.087	0.089	0.087	0.089	0.089	0.087	0.089	0.087	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_4	0.094	0.138	0.149	0.000	0.085	0.099	0.023	0.342	0.401	0.000	0.052	0.193	0.248	0.074	0.096	0.000	0.000	0.087	0.082	0.087	1.000	0.087	0.085	0.087	0.087	0.085	0.087	0.085	0.087	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_5	0.017	0.026	0.053	0.029	0.141	0.096	0.057	0.303	0.457	0.000	0.060	0.092	0.391	0.037	0.087	0.000	0.000	0.089	0.084	0.089	0.087	1.000	0.087	0.089	0.089	0.087	0.089	0.087	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_6	0.063	0.123	0.128	0.000	0.052	0.037	0.000	0.359	0.432	0.042	0.099	0.121	0.235	0.056	0.047	0.000	0.000	0.087	0.082	0.087	0.085	0.087	1.000	0.087	0.087	0.085	0.087	0.085	0.087	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_7	0.061	0.075	0.071	0.080	0.051	0.000	0.074	0.433	0.545	0.127	0.160	0.297	0.074	0.046	0.092	0.000	0.000	0.089	0.084	0.089	0.087	0.089	0.087	1.000	0.089	0.087	0.089	0.087	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_8	0.040	0.034	0.000	0.056	0.092	0.033	0.061	0.451	0.551	0.120	0.161	0.254	0.103	0.065	0.113	0.000	0.000	0.089	0.084	0.089	0.087	0.089	0.087	0.089	1.000	0.087	0.089	0.087	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_9	0.157	0.114	0.065	0.074	0.139	0.127	0.077	0.381	0.428	0.000	0.062	0.125	0.179	0.055	0.071	0.000	0.005	0.087	0.082	0.087	0.085	0.087	0.085	0.087	0.087	1.000	0.087	0.085	0.087	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_10	0.126	0.117	0.112	0.099	0.157	0.092	0.102	0.376	0.359	0.000	0.061	0.084	0.178	0.099	0.132	0.016	0.006	0.089	0.084	0.089	0.087	0.089	0.087	0.089	0.089	0.087	1.000	0.087	0.089	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_11	0.065	0.093	0.083	0.157	0.089	0.085	0.167	0.333	0.313	0.000	0.000	0.020	0.251	0.109	0.271	0.010	0.010	0.087	0.082	0.087	0.085	0.087	0.085	0.087	0.087	0.085	0.087	1.000	0.087	0.000	0.000	0.000	0.000	0.000	0.000	0.000
month_12	0.082	0.109	0.144	0.199	0.086	0.089	0.185	0.438	0.417	0.029	0.104	0.059	0.309	0.172	0.316	0.000	0.000	0.088	0.084	0.088	0.087	0.088	0.087	0.088	0.088	0.087	0.089	0.087	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
day_Friday	0.237	0.231	0.251	0.072	0.234	0.225	0.130	0.000	0.000	0.000	0.000	0.000	0.039	0.101	0.000	0.239	0.603	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.164	0.164	0.164	0.165	0.165	0.164
day_Monday	0.216	0.221	0.221	0.029	0.254	0.250	0.051	0.000	0.000	0.028	0.000	0.000	0.000	0.088	0.000	0.238	0.240	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.164	1.000	0.164	0.164	0.164	0.164	0.164
day_Saturday	0.607	0.674	0.633	0.131	0.573	0.563	0.172	0.000	0.000	0.034	0.017	0.036	0.000	0.201	0.000	0.602	0.602	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.164	0.164	1.000	0.164	0.164	0.164	0.164
day_Sunday	0.657	0.683	0.639	0.172	0.659	0.654	0.028	0.000	0.000	0.063	0.013	0.021	0.000	0.426	0.000	0.602	0.238	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.164	0.164	0.164	1.000	0.164	0.164	0.164
day_Thursday	0.249	0.245	0.242	0.020	0.264	0.245	0.072	0.000	0.016	0.000	0.000	0.000	0.000	0.085	0.000	0.243	0.239	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.165	0.164	0.164	0.164	1.000	0.165	0.164
day_Tuesday	0.242	0.237	0.242	0.049	0.244	0.251	0.013	0.000	0.000	0.000	0.000	0.000	0.027	0.093	0.000	0.239	0.237	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.165	0.164	0.164	0.164	0.165	1.000	0.164
day_Wednesday	0.217	0.224	0.220	0.018	0.225	0.226	0.023	0.000	0.000	0.059	0.019	0.000	0.000	0.076	0.000	0.238	0.245	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.164	0.164	0.164	0.164	0.164	0.164	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Date	vehicle_operation	reception_cases	boarding_cases	average_wait_time	average_fare	average_boarding_distance	target	temp_max_forecast	temp_min_forecast	rain(mm)_forecast	humidity_max(%)_forecast	humidity_min(%)_forecast	sunshine(MJ/m2)_forecast	Boarding rate	holiday	average_wait_time_7	holiday eve	month_1	day_Friday	day_Monday	day_Saturday	day_Sunday	day_Thursday	day_Tuesday	day_Wednesday
0	2015-01-01	213	1023	924	23.2	2427	10764	17.2	-2.0	-8.9	0.0	63.0	28.0	9.07	0.903226	1	40.316706	0.0	1	0	0	0	0	1	0	0
1	2015-01-02	420	3158	2839	17.2	2216	8611	26.2	2.4	-9.2	0.0	73.0	37.0	8.66	0.898987	0	40.316706	1.0	1	1	0	0	0	0	0	0
2	2015-01-03	209	1648	1514	26.2	2377	10198	24.5	8.2	0.2	0.0	89.0	58.0	5.32	0.918689	1	40.316706	1.0	1	0	0	1	0	0	0	0
3	2015-01-04	196	1646	1526	24.5	2431	10955	26.2	7.9	-0.9	0.0	95.0	52.0	6.48	0.927096	1	40.316706	0.0	1	0	0	0	1	0	0	0
4	2015-01-05	421	4250	3730	26.2	2214	8663	23.6	4.1	-7.4	3.4	98.0	29.0	10.47	0.877647	0	40.316706	0.0	1	0	1	0	0	0	0	0
5	2015-01-06	417	3991	3633	23.6	2211	8545	24.7	-1.0	-8.8	0.0	42.0	24.0	10.12	0.910298	0	40.316706	0.0	1	0	0	0	0	0	1	0
6	2015-01-07	410	4085	3676	24.7	2230	8646	21.2	-0.2	-9.2	0.0	62.0	27.0	10.09	0.899878	0	23.657143	0.0	1	0	0	0	0	0	0	1
7	2015-01-08	419	4030	3728	21.2	2231	8683	21.8	3.2	-6.8	0.0	78.0	38.0	8.74	0.925062	0	23.371429	0.0	1	0	0	0	0	1	0	0
8	2015-01-09	424	4167	3813	21.8	2215	8506	41.2	4.3	-5.5	0.0	81.0	33.0	9.41	0.915047	0	24.028571	1.0	1	1	0	0	0	0	0	0
9	2015-01-10	215	1916	1645	41.2	2447	11123	28.8	2.3	-4.0	0.0	83.0	39.0	9.60	0.858559	1	26.171429	1.0	1	0	0	1	0	0	0	0

	Date	vehicle_operation	reception_cases	boarding_cases	average_wait_time	average_fare	average_boarding_distance	target	temp_max_forecast	temp_min_forecast	rain(mm)_forecast	humidity_max(%)_forecast	humidity_min(%)_forecast	sunshine(MJ/m2)_forecast	Boarding rate	holiday	average_wait_time_7	holiday eve	month_12	day_Friday	day_Monday	day_Saturday	day_Sunday	day_Thursday	day_Tuesday	day_Wednesday
2912	2022-12-21	628	5936	4815	39.6	2150	7832	56.4	-2.6	-10.9	0.0	75.0	45.0	10.05	0.811152	0	42.971429	0.0	1	0	0	0	0	0	0	1
2913	2022-12-22	625	5899	4716	56.4	2188	8051	51.7	-9.2	-13.7	0.0	65.0	53.0	10.76	0.799458	0	45.242857	0.0	1	0	0	0	0	1	0	0
2914	2022-12-23	607	5570	4361	51.7	2159	8003	29.4	-2.1	-13.5	0.0	69.0	40.0	10.92	0.782944	0	46.257143	1.0	1	1	0	0	0	0	0	0
2915	2022-12-24	308	2279	1910	29.4	2367	9806	38.7	-0.2	-9.5	0.0	81.0	47.0	10.89	0.838087	1	43.614286	1.0	1	0	0	1	0	0	0	0
2916	2022-12-25	217	1945	1588	38.7	2416	10212	39.2	1.5	-7.9	0.0	85.0	46.0	8.27	0.816452	1	45.114286	0.0	1	0	0	0	1	0	0	0
2917	2022-12-26	603	5555	4605	39.2	2163	7889	44.4	3.0	-7.3	0.0	86.0	51.0	10.25	0.828983	0	43.485714	0.0	1	0	1	0	0	0	0	0
2918	2022-12-27	669	5635	4654	44.4	2198	8178	44.8	-0.3	-5.4	0.1	92.0	40.0	10.86	0.825909	0	42.771429	0.0	1	0	0	0	0	0	1	0
2919	2022-12-28	607	5654	4648	44.8	2161	7882	52.5	1.7	-7.8	0.0	71.0	34.0	10.88	0.822073	0	43.514286	0.0	1	0	0	0	0	0	0	1
2920	2022-12-29	581	5250	4247	52.5	2229	8433	38.3	2.1	-4.0	0.0	87.0	38.0	10.84	0.808952	0	42.957143	0.0	1	0	0	0	0	1	0	0
2921	2022-12-30	600	5293	4200	38.3	2183	8155	33.7	-4.4	-4.4	0.0	66.0	66.0	0.00	0.793501	0	41.042857	1.0	1	1	0	0	0	0	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block